bonndata

Metrics

414,156 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Publication Year: 2026

19,541 to 19,550 of 19,688 Results

Chous_1380_images.zip Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380) ZIP Archive - 2.7 GB - MD5: 0022e89fc87b66db12a0082584057726
Chous_1380_model.zip Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380) ZIP Archive - 83.5 MB - MD5: bcb62424f6888b54d0d5a336ff52443d
GÜNZEL_Chous_1380_readme.txt Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380) Plain Text - 2.4 KB - MD5: e7c47644ff4cdd9dd81e76919bf9dfa7
Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Jan 26, 2026 Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V2 In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.
.gitignore Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 3.4 KB - MD5: be85f81e6cc8066629a0464226450c3c
LICENSE Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 1.0 KB - MD5: 9166a54d6b45565ba0e1420c2de7fdf0
README.md Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Markdown Text - 4.1 KB - MD5: e0d58f8633a84bea05fec828fc1e5f07
config.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.9 KB - MD5: 0389a89900e28058294d79ee957393cf
correlations.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.1 KB - MD5: 3dafcd83c5833accf319e6363b0521c4
loader.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 9.6 KB - MD5: 0bc47c5210de4b0479c71c968b9aadb9

Chous_1380_images.zip

Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380)

ZIP Archive - 2.7 GB -

Chous_1380_model.zip

Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380)

ZIP Archive - 83.5 MB -

GÜNZEL_Chous_1380_readme.txt

Jan 27, 2026 - Attic Red-Figure Chous in the Museum Alte Kulturen Tübingen (Inv. 1380)

Plain Text - 2.4 KB -

Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Jan 26, 2026

Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V2

In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.

.gitignore

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 3.4 KB -

LICENSE

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 1.0 KB -

README.md

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Markdown Text - 4.1 KB -

config.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 4.9 KB -